Supervision and Control Industrial Refrigerator by Integration External and Bond Graph Models

Supervision and Control Industrial Refrigerator by Integration External and Bond Graph Models

Abderrahmene Sallami

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Maher Ben Hariz

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Supervision and Control Industrial Refrigerator by Integration External and Bond Graph Models

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Abstract

This article aims to solve the problems of supervision and PI controller of an industrial thermal system (the industrial static refrigerator). The structure of an industrial system from the point of view of the external model operates in several modes of operation (normal and abnormal). For this external model, we have two problems, the first problem is a fault location problem because we are talking about a global operation of the system and the second problem is a problem of visualization of the phenomenon of switching between the operating modes of the system. For this, in this article we have integrated two other models to solve the problems in question. For the localization problem, we used the bond graph model. This model, by its graphic nature and the use of a unified language, allows to model the industrial system element by element from which it helps the user not only to detect defects, but also to locate them when they appear in the system.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

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No ethics committee approval was required for this article type.

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Not applicable for this article.

How to Cite This Article

Abderrahmene Sallami. 2026. \u201cSupervision and Control Industrial Refrigerator by Integration External and Bond Graph Models\u201d. Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 22 (GJRE Volume 22 Issue G1): .

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GJRE Volume 22 Issue G1
Pg. 11- 25

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

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GJRE-G Classification: DDC Code: 338.47791 LCC Code: PN1590.F55

Submission ReceivedNovember 14, 2021
Peer Review Double Blind
Handling Editor
Accepted December 4, 2021
Published December 18, 2021

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May 13, 2022

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